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Continuous Constant-Memory Monitoring of Embedded Software Timing
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-6132-7945
2011 (English)In: 2nd International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems (WATERS'11), satellite workshop of EUROMICRO Conference on Real-Time Systems (ECRTS'11), 2011Conference paper, Published paper (Refereed)
Abstract [en]

A method is presented for generating statistical models of timing data continuously over very long monitoring sessions. This method is intended for memory-efficient runtime modeling of timing properties in embedded software systems, such as execution times or inter-arrival times, but is a quite generic method that should be applicable for other purposes and domains as well. Specifically, we intend to use this method as a component in automatic generation of simulation models for probabilistic timing analysis of complex embedded software systems. Given a stream of data as input, this method gradually builds up a statistical model capturing the approximate distribution of the data. The method uses a modest and fixed amount of on-target RAM, decided by the desired accuracy of the model, and allows for long monitoring sessions covering billions of data points. The paper presents the motivation, algorithm, a prototype implementation and evaluation using real execution time data from an ARM7 microcontroller.

Place, publisher, year, edition, pages
2011.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-13617OAI: oai:DiVA.org:mdh-13617DiVA: diva2:466160
Available from: 2011-12-15 Created: 2011-12-15 Last updated: 2015-07-31Bibliographically approved

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